TrackerBot: Parallel Object Tracking and Collision Avoidance Design for Unmanned Ground Vehicles

Autonomous rovers are mobile robots, designed to operate in various conditions without any human intervention. These rovers are equipped with sensors, actuators, and control systems that enable them to navigate and interact with their environment. They are widely employed in fields like exploration, search and rescue, environmental monitoring, and surveillance. In this paper, we propose TrackerBot, which is an autonomous rover that integrates parallel object tracking, videography, and collision avoidance in real-world scenarios. The proposed rover can navigate safely and capture high-quality visual data of its targeted moving object. The rover control system is operated via a proportional-integral-derivative (PID) controller, and is accompanied by computer vision capabilities. It enables it to seamlessly detect and track objects at a parallel level in its environment, avoid obstacles and collisions, and record video footage with minimal hardware requirements. The proposed system performance is evaluated through its ability to navigate complex environments and capture high-quality visual data.